Lin Chen

According to our database, Lin Chen authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient and Secure Content-Based Image Retrieval in Cloud-Assisted Internet of Things.

Lin Chen, Yiwei Yang, Li Yang, Chao Xu, Yinbin Miao, Zhiquan Liu, Ximeng Liu, Kim-Kwang Raymond Choo, Zhihong Liang, Chao Hong

IEEE Internet Things J., March, 2025

Privacy-preserving federated learning with intermediate-level model sharing.

Hashan Ratnayake, Lin Chen, Xiaofeng Ding

Expert Syst. Appl., 2025

2024

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization.

Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin

IEEE Trans. Knowl. Data Eng., September, 2024

Differentially Private Federated Learning With Importance Client Sampling.

Lin Chen, Xiaofeng Ding, Mengqi Li, Hai Jin

IEEE Trans. Consumer Electron., February, 2024

2023

Distributed dynamic online learning with differential privacy via path-length measurement.

Lin Chen, Xiaofeng Ding, Pan Zhou, Hai Jin

Inf. Sci., June, 2023

Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization.

Lin Chen, Danyang Yue, Xiaofeng Ding, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin

IEEE Trans. Inf. Forensics Secur., 2023

VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints.

Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2021

Differentially Private Deep Learning with Iterative Gradient Descent Optimization.

Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin

Trans. Data Sci., 2021

Dynamic online convex optimization with long-term constraints via virtual queue.

Xiaofeng Ding, Lin Chen, Pan Zhou, Zichuan Xu, Shiping Wen, John C. S. Lui, Hai Jin

Inf. Sci., 2021